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ShrunkCovariance — scikit-learn 1.7.2 documenta...
1 ) [source] # Covariance estimator...computation. shrinkage float, default=0.1 Coefficient in the convex combination...scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html -
2.6. Covariance estimation — scikit-learn 1.7.2...
1. Empirical covariance # The covariance...2.6.2. Shrunk Covariance # 2.6.2.1. Basic shrinkage # Despite being...scikit-learn.org/stable/modules/covariance.html -
Balance model complexity and cross-validated sc...
within 1 standard deviation of the best accuracy score. [1] Hastie,...test_scores , axis = 1 ) - np . std ( test_scores , axis = 1 ), np . mean...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html -
RadiusNeighborsClassifier — scikit-learn 1.7.2 ...
() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) score (...[[ 0 ], [ 1 ], [ 2 ], [ 3 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>> from...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.html -
NuSVC — scikit-learn 1.7.2 documentation
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...default=-1 Hard limit on iterations within solver, or -1 for no...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html -
RadiusNeighborsTransformer — scikit-learn 1.7.2...
() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) set_output...who’s the closest point to [1, 1, 1]: >>> import numpy as np >>>...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsTransformer.html -
MultiTaskElasticNetCV — scikit-learn 1.7.2 docu...
[ 1 , 1 ], [ 2 , 2 ]], ... [[ 0 , 0 ], [ 1 , 1 ], [ 2 ,...with 0 < l1_ratio <= 1. For l1_ratio = 1 the penalty is an L1/L2...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNetCV.html -
QuantileRegressor — scikit-learn 1.7.2 document...
alpha = 1.0 , fit_intercept = True , solver...User Guide . Added in version 1.0. Parameters : quantile float,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html -
Joint feature selection with multi-task Lasso —...
ylim ([ - 1.1 , 1.1 ]) plt . show () Total running...(( 1.0 + rng . randn ( 1 )) * times + 3 * rng . randn ( 1 ))...scikit-learn.org/stable/auto_examples/linear_model/plot_multi_task_lasso_support.html -
MultiTaskElasticNet — scikit-learn 1.7.2 docume...
1 ) >>> clf . fit ([[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2...], [ 1 , 1 ], [ 2 , 2 ]]) MultiTaskElasticNet(alpha=0.1) >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNet.html